| Hybrid machine learning forecasting of solar radiation values Y Gala, Á Fernández, J Díaz, JR Dorronsoro Neurocomputing 176, 48-59, 2016 | 150 | 2016 |
| Supervised outlier detection for classification and regression Á Fernández, J Bella, JR Dorronsoro Neurocomputing 486, 77-92, 2022 | 69 | 2022 |
| Magnetic Eigenmaps for the Visualization of Directed Networks M Fanuel, CM Alaíz, Á Fernández, JAK Suykens Applied and Computational Harmonic Analysis; arXiv preprint arXiv:1606.08266, 2017 | 58 | 2017 |
| Support vector forecasting of solar radiation values Y Gala, Á Fernández, J Díaz, JR Dorronsoro International Conference on Hybrid Artificial Intelligence Systems, 51-60, 2013 | 31 | 2013 |
| Diffusion maps for dimensionality reduction and visualization of meteorological data Á Fernández, AM González, J Díaz, JR Dorronsoro Neurocomputing 163, 25-37, 2015 | 28 | 2015 |
| Machine learning prediction of large area photovoltaic energy production Á Fernández, Y Gala, JR Dorronsoro International Workshop on Data Analytics for Renewable Energy Integration, 38-53, 2014 | 17 | 2014 |
| Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data Á Fernández, N Rabin, D Fishelov, JR Dorronsoro Engineering Applications of Artificial Intelligence 93, 103682, 2020 | 12 | 2020 |
| Machine learning prediction of global photovoltaic energy in spain Y Gala, A Fernández, J Dorronsoro, M García, C Rodríguez International Conference on Renewable Energies and Power Quality, 278, 2014 | 12 | 2014 |
| Diffusion methods for aligning medical datasets: Location prediction in CT scan images Á Fernández, N Rabin, RR Coifman, J Eckstein Medical image analysis 18 (2), 425-432, 2014 | 11 | 2014 |
| Diffusion methods for wind power ramp detection Á Fernández, CM Alaíz, AM González, J Díaz, JR Dorronsoro International Work-Conference on Artificial Neural Networks, 106-113, 2013 | 10 | 2013 |
| Auto-adaptative laplacian pyramids for high-dimensional data analysis A Fernández, N Rabin, D Fishelov, JR Dorronsoro arXiv preprint arXiv:1311.6594, 2013 | 8 | 2013 |
| Auto-adaptive Laplacian Pyramids. Á Fernández, N Rabin, D Fishelov, JR Dorronsoro ESANN, 2016 | 7 | 2016 |
| RLBoost: Boosting supervised models using deep reinforcement learning EA Batanero, ÁF Pascual, ÁB Jiménez Neurocomputing 618, 128815, 2025 | 5 | 2025 |
| High wind and energy specific models for global production forecast C Alaız, A Barbero, A Fernández, JR Dorronsoro, CT y Valiente Proceedings of the European Wind Energy Conference and Exhibition (EWEC–09 …, 2009 | 5 | 2009 |
| Functional diffusion maps M Barroso, CM Alaíz, JL Torrecilla, A Fernández Statistics and Computing 34 (1), 22, 2024 | 4 | 2024 |
| Companion losses for deep neural networks D Díaz-Vico, A Fernández, JR Dorronsoro International Conference on Hybrid Artificial Intelligence Systems, 538-549, 2021 | 4 | 2021 |
| Diffusion maps for the description of meteorological data Á Fernández, AM González, J Díaz, JR Dorronsoro International Conference on Hybrid Artificial Intelligence Systems, 276-287, 2012 | 4 | 2012 |
| Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods M Barroso, JM Bossio, CM Alaíz, Á Fernández arXiv preprint arXiv:2306.09365, 2023 | 3 | 2023 |
| Supervised hyperparameter estimation for anomaly detection J Bella, Á Fernández, JR Dorronsoro International conference on hybrid artificial intelligence systems, 233-244, 2020 | 3 | 2020 |
| Local Anisotropic Diffusion Detection of Wind Ramps Á Fernández, CM Alaíz, AM González, J Díaz, JR Dorronsoro Neural Information Processing Systems - NIPS 2013 Workshop: Machine Learning …, 2013 | 3 | 2013 |
jose dorronsorouamVerified email at uam.es
